Efficient Computing

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers ICLR 2023 Sparse Parameterization for Epitomic Dataset Distillation NeurIPS 2023 SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks NeurIPS 2023 SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge ICML 2023 Sparse Random Networks for Communication-Efficient Federated Learning ICLR 2023 Sparse Token Transformer with Attention Back Tracking ICLR 2023 Sparse Universal Transformer EMNLP 2023 Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints ICLR 2023 SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023 SparseVSR: Lightweight and Noise Robust Visual Speech Recognition Interspeech 2023 Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers CVPR 2023 Sparsity Agnostic Depth Completion WACV 2023 Sparsity-Constrained Optimal Transport ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution ICCV 2023 Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction AAAI 2023 SpecTr: Fast Speculative Decoding via Optimal Transport NeurIPS 2023 Speculative Decoding with Big Little Decoder NeurIPS 2023 Speech Database (Speech-DB) – An on-line platform for storing, validating, searching, and recording spoken language data EACL 2023 Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023 Spike-Based Anytime Perception WACV 2023 Spike Count Maximization for Neuromorphic Vision Recognition IJCAI 2023 Spike-driven Transformer NeurIPS 2023 Spiking PointNet: Spiking Neural Networks for Point Clouds NeurIPS 2023